(The following topics include but are not limited to)
Topic 1: Deep Learning
Innovation in Neural Network Architecture
Deep Learning Optimization Algorithm
Self supervised and unsupervised learning
Reinforcement Learning and Applications
Graph Neural Network
Deep learning interpretability
Small sample and transfer learning
Deep learning for edge devices
Topic 2: Natural Language Processing
Pre trained language model
Text comprehension and generation
Machine Translation and Multilingual Processing
Information Extraction and Knowledge Graph
Emotion analysis and viewpoint mining
Q&A and Dialogue System
Low resource language processing
NLP Ethics and Prejudice
Topic Three: Computer Vision
Image Classification and Object Detection
Semantic segmentation and instance segmentation
3D Vision and Reconstruction
Video analysis and behavior recognition
Image generation and editing
Visual Transformer
Weakly Supervised and Self Supervised Vision
Visual and linguistic multimodality